Application Architect - Enterprise Data, Analytics & AI Platforms

Key Responsibilities: Design and implement scalable enterprise data and analytics architectures using cloud technologies. Develop, deploy, and maintain Power BI dashboards, reports, data models, and semantic layers. Design and manage Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Build and optimize data ingestion, transformation, and orchestration processes. Administer Databricks environments, including workspace configuration, cluster management, security, and performance tuning. Deploy, configure, and manage cloud infrastructure across Microsoft Azure, AWS, and Google Cloud Platform (GCP).Ensure data quality, reliability, scalability, and security across enterprise data platforms. Implement DevOps practices, CI/CD pipelines, infrastructure automation, and cloud security measures. Research and evaluate emerging technologies in data engineering, analytics, machine learning, and generative AI.Collaborate with business stakeholders, engineers, and analysts to translate requirements into technical solutions. Provide technical guidance, review solution designs, and mentor development and engineering teams.

Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.10+ years of experience designing, developing, and supporting enterprise applications, analytics, and data solutions. Extensive experience with Microsoft Power BI, including dashboard development, DAX, semantic models, and workspace administration. Strong experience designing and maintaining Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Hands-on experience administering and supporting Databricks environments. Experience deploying and managing cloud resources across Azure, AWS, and GCP.Strong understanding of data warehousing, data lakes, dimensional modeling, and enterprise analytics architecture. Experience with SQL, data integration, and performance optimization. Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security best practices. Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications: Cloud certifications in Azure, AWS, and/or Google Cloud. Databricks certification or equivalent experience. Experience with machine learning, AI platforms, and Generative AI solutions. Knowledge of data governance, metadata management, and data quality frameworks. Experience working in large enterprise or public-sector environments.

Work Arrangement: This is a hybrid position requiring 3 days onsite at New York, NY, and 2 days remote per week. Candidates must be able to meet the onsite schedule. Fully remote arrangements are not available. Interested candidates: Please submit your updated resume highlighting your experience in enterprise architecture, data engineering, business intelligence, and cloud platforms.